To solve Speaker-Independent Speech Recognition problem, we use two kinds of method: speaker adaptation & large amount of people’s training data.
我们采用了说话人自适应和大数量人的训练数据两种方法解决不定人问题。
参考来源 - 不定人的语音识别系统Robust speech recognition technologyThe system robustness problems including environmental noise resistance, speaker adaptation and channel adaptation are fully researched. A robust feature extraction algorithm for speech recognition was proposed.
鲁棒语音识别技术全面研究了包括抗环境噪声、说话人自适应、信道自适应等在内的系统鲁棒性问题。
参考来源 - 噪声环境下的语音识别技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.
本文提出了一种新的说话人自适应算法———最大似然模型插值。
Speaker adaptation is one of the effective approaches to improve the performance of speaker-independent speech recognition.
说话人自适应是提高非特定人语音识别性能的有效方法之一。
A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.
针对特征语音说话人自适应算法的缺陷，提出了基于结构化特征语音模型的区别性说话人自适应方法。
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